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Mapping the Evolution of Artificial Intelligence in Medical Materials.

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Artificial intelligence (AI) in medical materials research is growing rapidly, especially since 2018 due to deep learning advancements. Key challenges include clinical validation and precise manufacturing for AI-enabled medical materials.

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Area of Science:

  • Medical Materials Science
  • Artificial Intelligence
  • Bibliometrics

Background:

  • Artificial intelligence (AI) applications in medical materials, including composition, design, and manufacturing, are expanding.
  • A comprehensive overview of the research landscape in AI for medical materials is lacking.

Purpose of the Study:

  • To conduct a bibliometric analysis of AI in medical materials research.
  • To identify trends, key challenges, and future research directions in this interdisciplinary field.

Main Methods:

  • Bibliometric analysis of 108 publications.
  • Data sourced from the Web of Science Core Collection database.
  • Analysis of publication trends and research challenges.

Main Results:

  • Research in AI for medical materials spans nearly two decades.
  • A significant increase in publications since 2018, likely fueled by deep learning.
  • Identified challenges: clinical validation, de novo design, and precise manufacturing.

Conclusions:

  • The field of AI in medical materials is dynamic and rapidly evolving.
  • Deep learning advancements are a probable driver for recent research growth.
  • Addressing challenges in validation, design, and manufacturing is crucial for future AI-enabled medical materials development.